Mapping user identifiers between different device ecosystems

ABSTRACT

Techniques and technologies for mapping user identifiers between different device ecosystems are described. In at least some embodiments, a system includes a processing component, a memory, and a mapping engine configured to map a first identifier associated with a user with a second identifier, at least one of the first or second identifiers being associated with a first device ecosystem; and map a third identifier associated with a second device ecosystem with at least one of the first identifier or the second identifier, the second device ecosystem different from the first device ecosystem, based at least partially on (i) a plurality of first co-location occurrences of the third identifier with the first identifier, and (ii) a plurality of second co-location occurrences of the third identifier with the second identifier. The mapping engine may provide an indication of an association of the third identifier with the user.

BACKGROUND

Many people interact with several different electronic devices duringtheir daily lives. At their homes, people may operate a wide variety ofpersonal computing devices (e.g. desktops, laptops, set-top devices,gaming devices, etc.) to perform a variety of daily activities (e.g.shopping, communications, social media, research, gaming, etc.).Similarly, people may operate additional computing devices at theirplace of employment to perform their work-related activities (e.g.desktops, servers, laptops, notebook computers, etc.). And whilecommuting between home and work, they may operate still other electronicdevices, including a variety of mobile devices (e.g. cellular phones,personal data assistants, vehicle-based devices, etc.).

It may be desirable to identify a person using a device (or associate aprofile with the person) for various reasons. For example, providers ofpersonalized services or products may desire to know the identity (orprofile) of a potential consumer that is using an electronic device inorder to provide appropriately personalized services or products. Morespecifically, in recent years, mobile devices have become increasinglypopular for targeted content delivery, such as advertising. To get acomprehensive behavioral picture of a potential customer across multipledevices for targeting, it is necessary to link the user identifiers onthese devices together. However, linking user identifiers on mobiledevices to the identifiers on other devices (e.g. personal computers(PCs), laptops, etc.) is a challenge, especially in the context ofdifferent device ecosystems.

Devices within a particular device ecosystem may be designed to workwell with each other, and may provide improved commonality such ascommon applications, and employing similar user interfaces. Currently,however, there are no existing identifier sync services to mapidentifiers between different device ecosystems.

SUMMARY

In at least some embodiments, a system for mapping user identifiersbetween different device ecosystems may include a processing componentoperatively coupled to a memory, and a mapping engine at least partiallydisposed in the memory. In at least some embodiments, the mapping enginemay be configured to map a first identifier associated with a user witha second identifier, at least one of the first or second identifiersbeing associated with a first device ecosystem; and map a thirdidentifier associated with a second device ecosystem with at least oneof the first identifier or the second identifier, the second deviceecosystem being different from the first device ecosystem, the mappingbeing based at least partially on (i) a plurality of first co-locationoccurrences of the third identifier with the first identifier, and (ii)a plurality of second co-location occurrences of the third identifierwith the second identifier. In at least some embodiments, the mappingengine may be further configured to provide an indication of anassociation of the third identifier with the user.

In still other implementations, a method at least partially implementedusing one or more processing components may include mapping a firstidentifier associated with a user with a second identifier, at least oneof the first or second identifiers being associated with a first deviceecosystem; mapping a third identifier associated with a second deviceecosystem with at least one of the first identifier or the secondidentifier, the second device ecosystem being different from the firstdevice ecosystem, and providing an indication of an association of thethird identifier with the user. In at least some implementations, themapping includes determining a plurality of first co-locationoccurrences scores indicative of the third identifier and one or moreother identifiers accessing a first network access, determining aplurality of second co-location occurrence scores indicative of thethird identifier and one or more other identifiers accessing a secondnetwork access, processing the plurality of first co-location occurrencescores and the plurality of second co-location occurrence scores todetermine a highest first co-location occurrence score and a highestsecond co-location occurrence score; and if either the highest firstco-location occurrence score corresponds to at least one of the first orsecond identifier, or the highest second co-location occurrence scorecorresponds to at least one of the first or second identifier, then mapthe third identifier to the corresponding at least one of the firstidentifier or the second identifier.

Similarly, in at least some implementations, one or morecomputer-readable media bearing one or more instructions that, whenexecuted by one or more processing components, perform operationscomprising: mapping a first identifier associated with a user with asecond identifier, at least one of the first or second identifiers beingassociated with a first device ecosystem; mapping a third identifierassociated with a second device ecosystem with at least one of the firstidentifier or the second identifier, the second device ecosystem beingdifferent from the first device ecosystem, and providing an indicationof an association of the third identifier with the user. In at leastsome implementations, the mapping may include: determining a pluralityof first co-location occurrences scores indicative of the thirdidentifier and one or more other identifiers accessing a first networkaccess, determining a plurality of second co-location occurrence scoresindicative of the third identifier and one or more other identifiersaccessing a second network access, processing the plurality of firstco-location occurrence scores and the plurality of second co-locationoccurrence scores to determine a highest first co-location occurrencescore and a highest second co-location occurrence score; and if eitherthe highest first co-location occurrence score corresponds to at leastone of the first or second identifier, or the highest second co-locationoccurrence score corresponds to at least one of the first or secondidentifier, then map the third identifier to the corresponding at leastone of the first identifier or the second identifier.

This Summary is provided to introduce a selection of concepts in asimplified form that are further described below in the DetailedDescription. This Summary is not intended to identify key features oressential features of the claimed subject matter, nor is it intended tobe used as an aid in determining the scope of the claimed subjectmatter.

BRIEF DESCRIPTION OF THE DRAWINGS

The detailed description is described with reference to the accompanyingfigures. In the figures, the use of the same reference numbers indifferent figures indicates similar or identical components.

FIG. 1 shows an embodiment of an environment for mapping useridentifiers between different device ecosystems.

FIG. 2 shows an embodiment of a mapping engine for mapping useridentifiers between different device ecosystems.

FIG. 3 shows an embodiment of a process for mapping user identifiersbetween different device ecosystems to provide personalization servicesor products.

FIG. 4 shows another embodiment of an environment for mapping useridentifiers between different device ecosystems.

FIGS. 5A and 5B show another embodiment of a process for mapping useridentifiers between different device ecosystems.

FIG. 6 shows an embodiment of a process 600 for mapping together a firstidentifier and a second identifier to associate both the firstidentifier and the second identifier with a user.

FIG. 7 shows an embodiment of a computer system for mapping useridentifiers between different device ecosystems.

FIG. 8 shows an embodiment of a networked environment for mapping useridentifiers between different device ecosystems.

DETAILED DESCRIPTION

The present disclosure describes techniques and technologies for mappinguser identifiers between different device ecosystems. Such techniquesand technologies may be implemented in a wide variety of computingdevices (e.g. non-mobile computing devices and mobile computingdevices). In addition, such devices may be operating a wide variety ofdevice ecosystems. As described more fully below, techniques andtechnologies for mapping user identifiers in accordance with the presentdisclosure may advantageously determine an identity of a user of adevice, even when the user changes between devices that are operatingwithin different device ecosystems.

In general, the term “device ecosystem” (or simply “ecosystem”) mayrefer to one or more aspects of a device's software characteristics,hardware characteristics, firmware characteristics, or other suitablecharacteristics (e.g. operating characteristics, etc.). A deviceecosystem may, for example, depend upon a particular manufacturer orbrand name (e.g. Microsoft, Google, Apple, etc.), or upon a particularsoftware component or software suite (e.g. Windows, Android, iOS, etc.).

In at least some implementations, the present disclosure providestechniques and technologies for mapping user identifiers betweendifferent device ecosystems utilizing behavior patterns to link useridentifiers on mobile devices (e.g. cell phones, tablets, etc.) withthose on non-mobile devices (e.g. PCs). In at least someimplementations, such techniques and technologies may use locationbehavior patterns, temporal behavior patterns, or both. For example, inat least some implementations, such techniques and technologies mayrecord the IP addresses accessed by user identifiers on non-mobiledevices (e.g. PCs) and mobile devices, as well as the times such devicesare associated with (or accessing) a particular IP address. Thus, in atleast some implementations, based on the time and location of a mobiledevice associated with a mapped cluster of non-mobile user identifiers,such techniques and technologies can link the user identifier of themobile device to the mapped clusters of non-mobile device useridentifiers. Such techniques and technologies may enable improvedidentification of mobile device users based on activities on bothnon-mobile devices and mobile devices, even across different deviceecosystems.

FIG. 1 shows an embodiment of an environment 100 for mapping useridentifiers between different device ecosystems. In this embodiment, theenvironment 100 includes a system 110 having one or more processingcomponents 112 and one or more input/output (I/O) components 114 coupledto a memory 120 by a bus 116. The memory 120 of this embodiment includesa basic input/output system (BIOS) 122, which provides basic routinesthat help to transfer information between elements within the system110, and an operating system 124 that manages and provides commonservices to the various elements of the system 110.

In the embodiment shown in FIG. 1, the memory 120 of the system 110 alsoincludes a mapping engine 150 for mapping user identifiers, and amapping database 155 that stores information that may be accessed by themapping engine 150. More specifically, the mapping engine 150 mayinclude instructions that, when executed by the one or more processingcomponents 112, perform one or more operations for mapping useridentifiers as described herein. The memory 120 may further include apersonalized services or products component 160 that may receive mappinginformation from the mapping engine 150 and may provide one or morepersonalized services or products to the mobile device 174 of the User Abased on the mapping information. For example, in at least someimplementations, the personalized services or products component 160 mayprovide a customized (or targeted) advertisement to the User A.

It will be appreciated that the illustrative system 110 represents avariety of possible system types, including but not limited to a server,a mainframe, a workstation, a desktop computing device, a portable orhand-held computing device, a distributed computing system, acloud-based computing system, or any other suitable type of system. Asshown in FIG. 1, the system 110 may communicate with one or more otherdevices (e.g. via I/O components 114), either directly or indirectly viaone or more networks 160 (e.g. cellular network, global communicationnetwork, Local Area Network (LAN), Wide Area Network (WAN), wired orwireless network, etc.), including, for example, a laptop computingdevice 170 (e.g. laptop, notebook, etc.), a desktop computing device176, and a mobile device 174 (e.g. cellular telephone, tablet, notebook,Personal Data Assistant (PDA), etc.).

In at least some implementations, the system 110 and the devices 170,172, 174 may be readily categorized as “mobile” or “non-mobile” devices,however, in at least some implementations, the system 110 and thedevices 170, 172, 174 may not be so readily categorized. For example, inat least some implementations, one or more of the system 110 and thedevices 170, 172, 174 may actually be considered both “mobile” and“non-mobile,” or may share at least some characteristics or attributesof both “mobile” and “non-mobile” device categories. Therefore, itshould be appreciated that the terms “mobile” and “non-mobile” may beused herein for reference or convenience, however, such terms are notintended to be mutually exclusive or limiting with respect to thevarious devices that may be involved in the techniques and technologiesdescribed herein.

As further shown in FIG. 1, the various devices 170, 172, 174 may accessthe one or more networks 160 via a first network access having a firstInternet Protocol (IP) address IP1 and a second network access having asecond IP address IP2. More specifically, at a first time (or first timeperiod) T1, a User A may operate the laptop computing device 170 toaccess the one or more networks 160 via the first network access IP1. Afirst identifier ID1 is associated with the User A on the laptopcomputing device 170. Similarly, the mobile device 174 having a thirdidentifier ID3 may also access the one or more networks 160 via thefirst network access IP1.

It should be appreciated that other devices (not shown) having otherdevice identifiers may also connect to the first network access IP1 at(or during) the first time T1, which other devices (and deviceidentifiers) are not depicted in FIG. 1 for the sake of clarity. As usedherein, the term “user identifier” may be understood to refer to adevice identifier that has been associated with a particular user. Thus,a user that uses multiple devices may have multiple “user identifiers”that are associated with the user.

With continued reference to FIG. 1, the User A may move from onelocation to another along with the mobile device 174. At a second timeT2, the User A may operate the desktop computing device 172 to accessthe one or more networks 160 via the second network access IP2. A secondidentifier ID2 is associated with the User A on the desktop computingdevice 172. Also, at the second time T2, the mobile device 174 havingthe third identifier ID3 may access the one or more networks 160 via thesecond network access IP2. Again, it may be noted that other devices(not shown) having other device identifiers may also connect to thesecond network access IP2 at (or during) the second time T2, which otherdevices (and device identifiers) are not depicted in FIG. 1 for the sakeof clarity.

As time passes, the User A may move back and forth between differentlocations such that the first identifier ID1 may access the firstnetwork access IP1 at a plurality of times T1, the third identifier ID3may access the first network access IP1 at another plurality of timesT1, the second identifier ID2 may access the second network access IP2at another plurality of times T2, and the third identifier ID3 mayaccess the second network access IP2 at another plurality of times T2.

In at least some implementations, the laptop computing device 170 andthe desktop computing device 172 may operate with the same (orsubstantially similar) device ecosystems. Additionally, in at least someimplementations, the mobile device 174 may operate with a different (orsubstantially different) device ecosystem than the device ecosystems ofthe devices 170, 172. As described more fully below, the system 110having the mapping engine 150 may implement techniques and technologiesthat may advantageously enable improved identification of User A on themobile device 174 based on activities of the devices 170, 172, 174, evenwhen the mobile device 174 is operating based on a different (orsubstantially different) device ecosystem from that of the devices 170,172.

FIG. 2 shows an embodiment of a mapping engine 150 for mapping useridentifiers between different device ecosystems. In this implementation,the mapping engine 150 includes an IP address lookup component 152. TheIP address lookup component 152 is configured to determine a location ofan IP address (e.g. a personal residence, a private business address, apublic address, etc.). In addition, in this implementation, the mappingengine 150 includes a time determination component 154. The timedetermination component 154 is configured to identify the time of daythat a device connects to an IP address, which may be used, for example,to determine whether a connection occurred during normal working hours,off-work hours, or other established periods of time. The timedetermination component 154 may, for example, take into considerationdifferent countries, regions, time zones, holidays, and other variousfactors.

As further shown in FIG. 2, in this implementation, the mapping engine150 includes a record keeping component 156. The record keepingcomponent 156 is configured to communicate with other components of thesystem 110 and the mapping engine 150, including the IP address lookupcomponent 152 and the time determination component 154, and to recorduser identifiers (e.g. ID1, ID2, ID3) that occur on an IP address (e.g.IP1, IP2) at a particular time (e.g. T1, T2). More specifically, in atleast some implementations, the record keeping component 156 includes orgenerates a map keyed by <IP address, hour> which records all useridentifiers that are occurring on an IP address (or network access) at aparticular time (or time period). The mapping component 158 isconfigured to analyze the records generated by the record keepingcomponent 156 and to score the co-locations of identifier pairs (e.g.<ID1, ID2>, <ID1, ID3>, <ID2, ID3>, etc.), as described more fullybelow. In at least some implementations, the record keeping component156 may receive in-coming entries of <IP Address, Hour> when event logsare processed (e.g. hourly event log), and the mapping component 158 maycontinuously (or non-continuously) process the new entries added by therecord keeping component to perform one or more mapping operationsdescribed herein. It will be appreciated, of course, that the mappingengine 150 may be implemented in a wide variety of embodiments, and thatthe mapping engine 150 is not limited to the particular illustrativeembodiment shown in FIG. 2.

FIG. 3 shows an embodiment of a process 300 for mapping user identifiersbetween different device ecosystems to provide personalization servicesor products. In this implementation, the process 300 includesdetermining one or more activities of a first identifier ID1 associatedwith a User A accessing a first network access IP1 at 302. Suchdetermining one or more activities (at 302) may include, for example,receiving one or more indications that a first device D1 (e.g. laptopcomputing device 170) having the first identifier ID1 associated withthe User A has accessed one or more networks via the first networkaccess IP1 at one or more first times T1.

In the implementation shown in FIG. 3, the process 300 also includesdetermining one or more activities of a second identifier ID2 accessinga second network access IP2 at 304. In at least some implementations,the determining one or more activities (at 304) may include, forexample, receiving one or more indications that a second device D2 (e.g.desktop computing device 172) having the second identifier ID2 hasaccessed one or more networks via the second network access IP2 at oneor more second times T2.

The process 300 also includes mapping together the first identifier ID1and the second identifier ID2 to associate both the first identifier ID1and the second identifier ID2 with the User A at 306. For example, in atleast some implementations, the mapping of the first and secondidentifiers ID1, ID2 (at 306) uses a known mapping algorithm toassociate both the first identifier ID1 and the second identifier ID2with the User A (i.e. A={ID1, ID2}) as disclosed in U.S. Pat. No.8,843,394 issued to Cao et al., which patent is incorporated herein byreference. In at least some implementations, the mapping of the firstand second identifiers ID1, ID2 (at 306) may employ a known algorithm asdescribed more fully below with reference to FIG. 6.

As further shown in FIG. 3, the process 300 may also include determiningone or more activities of a third identifier ID3 accessing the firstnetwork access IP1 at 308. For example, in at least someimplementations, the determining one or more activities (at 308) mayinclude receiving one or more indications that a third device D3 (e.g.mobile device 174) having the third identifier ID3 has accessed one ormore networks via the first network access IP1 at one or more firsttimes T1.

Similarly, the process 300 may also include determining one or moreactivities of a third identifier ID3 accessing the second network accessIP2 at 310. In at least some implementations, the determining one ormore activities (at 310) may include, for example, receiving one or moreindications that the third device D3 (e.g. mobile device 174) having thethird identifier ID3 has accessed one or more networks via the secondnetwork access IP2 at one or more second times T2.

The process 300 may further include mapping together the thirdidentifier ID3 with at least one of the first identifier ID1 or thesecond identifier ID2 to associate the third identifier ID3 with theUser A at 312. More specifically, in at least some implementations, themapping component 158 of the mapping engine 150 may analyze informationregarding the one or more activities of the first, second, and thirdidentifiers ID1, ID2, ID3 accessing the first and second networkaccesses IP1, IP2 determined in the previous operations 302, 304, 308,and 310, and may score the co-occurrences of identifier pairs (e.g.<ID1, ID2>, <ID1, ID3>, <ID2, ID3>). In this way, using co-occurrences(or co-locations) of a pair of identifiers at the same location (e.g.same IP address) at the same time, techniques and technologies inaccordance with the present disclosure may advantageously map useridentifiers across multiple devices, even when the devices may beoperating in different (or substantially different) ecosystems.

As used herein, the term “co-occurrence” (or “identifier co-occurrence”or “co-location occurrence”) may be used to refer to the logging ofidentifier pairs in one or more places (e.g. network accesses or othersuitable data sources) when the identifiers are seen together. Withinthe same (or substantially similar) ecosystems, identifier co-occurrenceis usually supported. For example, on most personal computers (PCs) thatoperate Windows® operating systems, Microsoft identifiers are typicallypresent and can serve as a linkage to map other identifiers. However, indifferent ecosystems, such as devices that operate different operatingsystems (e.g. iOS, Android, etc.), it may be difficult to mapidentifiers across these ecosystems as there are typically no commonlinkages.

The scoring of identifier co-occurrences (at 312) may be accomplished ina variety of suitable ways. For example, in at least someimplementations, the scoring of the identifier pairs may includecounting a number of occurrences of the two identifiers of an identifierpair having accessed a particular network access (e.g. IP1, IP2) at thesame time or within a given period of time (e.g. within 1 min of eachother, etc.). In at least some implementations, based on the scoring ofthe co-occurrences (or co-locations) of the first identifier with thethird identifier (e.g. <ID1, ID3>), the mapping component 158 of themapping engine 150 may map (or associate) the third identifier ID3 withthe first identifier ID1, thereby associating the third identifier ID3(of the mobile device D3) with the User A (at 312). Similarly, in atleast some implementations, based on the scoring of the co-occurrencesof the second identifier with the third identifier (e.g. <ID2, ID3>),the mapping component 158 of the mapping engine 150 may map (orassociate) the third identifier ID3 with the second identifier ID2,thereby associating the third identifier ID3 (of the mobile device D3)with the User A (at 312).

Referring again to FIG. 3, the process 300 may further include providinga personalized service or product tailored to User A (e.g. personalizedservices or products component 160 may provide targeted advertisement orother personalized service, product, or aspect) to the third device D3associated with the third identifier ID3 at 314. For example, in atleast some implementations, the providing a personalized service orproduct tailored to User A (at 314) may include determining a profileassociated with the User A (e.g. gender, age group, prior demonstratedaffinity, etc.), selecting an advertisement from a plurality ofadvertisements based at least partially on the profile, and providingthe selected advertisement to the third device D3.

It will be appreciated that techniques and technologies for mapping useridentifiers between different device ecosystems may provide substantialoperational improvements in comparison with conventional operations. Forexample, such techniques and technologies enable appropriately tailoredpersonalization services or products to be provided to a user of adevice, thereby reducing or eliminating unnecessary processingrequirements or energy consumption associated with repeated delivery ofinappropriate personalization services or products, or repeated attemptsto determine (or re-determine) an identity of a user. Because thetechniques and technologies for mapping user identifiers as disclosedherein may even be employed between different device ecosystems, suchtechniques and technologies may operate more efficiently with fewercomputational operations required to achieve the desired result, withreduced resource usage (e.g., less memory usage, less power consumption,etc.), and with less strain on infrastructure (e.g. reduced bandwidthusage associated with incorrect or inappropriate operations, etc.) incomparison with conventional techniques and technologies.

Techniques and technologies for mapping user identifiers betweendifferent device ecosystems in accordance with the present disclosureare not necessarily limited to the particular embodiments describedabove with reference to FIGS. 1-3. In the following description,additional embodiments of techniques and technologies for mapping useridentifiers between different device ecosystems will be described. Itshould be appreciated that the embodiments described herein are notintended to be exhaustive of all possible embodiments in accordance withthe present disclosure, and that additional embodiments may be conceivedbased on the subject matter disclosed herein. For example, it should beappreciated that at least some of the various components and aspects ofthe described embodiments may be eliminated to create additional, or maybe variously combined to create still further embodiments. In thefollowing discussion of additional embodiments, common referencenumerals may be used to refer to elements introduced above, and for thesake of brevity, descriptions of previously-introduced elements may beomitted so that emphasis can be properly placed on new or varyingaspects of such additional embodiments.

FIG. 4 shows another embodiment of an environment 400 for mapping useridentifiers between different device ecosystems. In this implementation,the environment 400 includes a mapping system 410 configured tocommunicate with one or more networks 412, and a personalized servicesor products component 415 configured to receive information from themapping system 410 via the one or more networks 412 and to provide atailored or customized service or product via the one or more networks412. In at least some implementations, the mapping system 401 may beconfigured to perform the operations for mapping identifiers betweendifferent device ecosystems, however, in other implementations, one ormore components or functionalities for mapping identifiers betweendifferent device ecosystems may be distributed to other portions of theenvironment 400 (e.g. mapping elements 420, 422) as described more fullybelow.

A first location (e.g. a home or residence location) 414 is associatedwith (or includes) a first network access IP1, and a second location(e.g. a work location) 416 is associated with (or includes) a secondnetwork access IP2. A first device PC1 having a first identifier ID1 islocated at the first location 414 (e.g. home or residence) and may beused to access the first network access IP1 (e.g. a wireless router, amodem, a switch, a firewall, a network device, etc.) to access the oneor more networks 412. Similarly, a second device PC2 having a secondidentifier ID2 is located at the second location 416 (e.g. work) and maybe used to access the second network access IP2 to access the one ormore networks 412. As further shown in FIG. 4, a User A may carry amobile device M3 having a third identifier ID3, and may be located atthe first location 414 during a first time period 415 (e.g. night-timeor off-work hours as represented by a moon), and may also be located atthe second location 416 during a second time period 417 (e.g. work hoursas represented by a sun). Typically, in at least some implementations,the first device PC1 and the second device PC2 may operate with the same(or substantially similar) ecosystems, and the mobile device M3 mayoperate with an ecosystem that is different (or substantially different)than that of the first and second devices PC1, PC2.

In at least some implementations, one or more first mapping elements 420may be associated with the first location 414. The one or more firstmapping elements 420 may be hosted by (or disposed on) one or more ofthe first device PC1, the first network access IP1, the mobile deviceM3, or any other suitable device or component. Similarly, in at leastsome implementations, one or more second mapping elements 422 may beassociated with the second location 416. The one or more second mappingelements 422 may be hosted by (or disposed on) one or more of the seconddevice PC2, the second network access IP2, the mobile device M3, or anyother suitable device or component. It will be appreciated that the oneor more first and second mapping elements 420, 422 may (eitherindividually or in cooperation with the mapping system 410) perform oneor more of the operations or functions associated with mappingidentifiers as described herein, including for example, one or more ofthe operations or functions of the mapping engine 150 (e.g. one or moreof the IP address lookup component 152, the time determination component154, the record keeping component 156, or the mapping component 158).

Using known techniques, the first and second identifiers ID1, ID2 may bemapped to and associated with the User A. More specifically, if thefirst device PC1 and the second device PC2 operate with the sameecosystems (or substantially similar ecosystems), then using knownmapping techniques such as those disclosed in U.S. Pat. No. 8,843,394issued to Cao et al., the identifier pair <ID1, ID2> may be associatedwith the User A. Then, in order to map the third identifier ID3associated with the mobile device M3 (e.g. across multiple devices indifferent ecosystems) to the User A, techniques and technologies inaccordance with the present disclosure use co-occurrence (orco-location), which refers to the occurrence of a pair of identifiers atthe same IP address at the same time, but not necessary from the samedevices.

In general, users may use PCs (desktops or laptops) operating within thesame or similar ecosystems at work or at home (e.g. Microsoftidentifiers in a Microsoft ecosystem, Apple identifiers in an Appleecosystem, etc.). Therefore, through co-occurrence techniques andtechnologies disclosed herein, the identifier on a mobile device using adifferent ecosystem (e.g. Android) may be detected and mapped toidentifiers on such home and work PCs, enabling mapping of pairs ofidentifiers together across different ecosystems.

More specifically, with reference to FIG. 4, the co-occurrence ofidentifiers at the first (or home) location 414 during the first timeperiod (or off-work hours) 415 may result in a first (or home)co-occurrence 430. Similarly, the co-occurrence of identifiers at thesecond (or work) location 416 during the second time period (or workhours) 417 may result in a second (or work) co-occurrence 432. In atleast some implementations, the first co-occurrence 430 may bedetermined using the one or more first mapping elements 420 associatedwith the first location 414, while the second co-occurrence 432 may bedetermined using the one or more second mapping elements 422 associatedwith the second location 416. The personalized services or productscomponent 415 may receive the mapping information associating the thirdidentifier ID3 with the User A from the mapping system 410, and may inturn provide a service or product via the one or more networks 412 tothe mobile device M3 that is appropriately customized or tailored to theUser A.

FIGS. 5A and 5B show another embodiment of a process 500 for mappinguser identifiers between different device ecosystems. In thisimplementation, the process 500 describes operations associated with theenvironment 400 of FIG. 4 wherein the first location 414 is assumed tobe a home or residence location, and the second location 416 is assumedto be a work or employment location. It will be appreciated, however,that in other implementations, any other suitable first and secondlocations may be employed.

As shown in FIG. 5A, in at least some implementations, the process 500includes determining one or more activities of a first device PC1associated with a User A accessing a home network access IP1 at 502.More specifically, in at least some implementations, determining one ormore activities of a first device PC1 associated with a User A accessinga home network access IP1 at 502 may include receiving one or moreindications that the first device PC1 having a first identifier ID1associated with a User A has accessed the home network access IP1 at504. For example, in a particular embodiment, the IP address lookupcomponent 152 of the mapping engine 150 of the system 110 (or mappingsystem 410) may receive an indication that the first identifier ID1associated with the User A has accessed the home network access IP1using the first device ID1.

It will be appreciated that the first identifier ID1 may be associatedwith the User A in a variety of ways, including for example by priorregistration of the User A and prior association of the User A with thefirst identifier ID1, and then storing of information associating User Awith first identifier ID1 (e.g. storing into the mapping database 155).In at least some implementations, the IP address lookup component 152 ofFIG. 2 may determine a first location (or area or region) associatedwith the home network access IP1. Information associated with the one ormore indications (received at 504) that the first identifier ID1associated with the User A has accessed the home network access IP1 maybe stored within the mapping database 155 (e.g. by the mapping engine150, mapping system 410, one or more first mapping elements 420, etc.).

Similarly, in at least some implementations, determining one or moreactivities of a first device PC1 associated with a User A accessing ahome network access IP1 at 502 may also include determining one or morefirst access times T1 associated with the one or more indications thatthe first identifier ID1 associated with the User A has accessed thehome network access IP1 at 506. For example, in a particular embodiment,the time determination component 154 of the mapping engine 150 of thesystem 110 (or system 410, or one or more first mapping elements 420)may determine one or more first access times T1 associated with the oneor more indications (received at 504) that the first identifier ID1associated with the User A has accessed the home network access IP1 toaccess one or more networks using the first device PC1. Informationassociated with the one or more first access times T1 (determined at506) may be stored within the mapping database 155 (e.g. by the mappingengine 150, mapping system 410, one or more first mapping elements 420,etc.).

As further shown in FIG. 5A, in this implementation, the process 500includes determining one or more activities of a second device PC2accessing a work network access IP2 at 508. In at least someimplementations, determining one or more activities of a second devicePC2 accessing a work network access IP2 at 508 may include receiving oneor more indications that the second device PC2 having a secondidentifier ID2 has accessed the work network access IP2 at 510. Forexample, in a particular embodiment, the IP address lookup component 152of the mapping engine 150 of the system 110 (or mapping system 410, orone or more second mapping elements 422) may receive an indication thatthe second identifier ID2 has accessed the work network access IP2 usingthe second device PC2.

Similarly, in at least some implementations, determining one or moreactivities of a second device PC2 accessing a work network access IP2 at508 may also include determining one or more second access times T2associated with the one or more indications that the second identifierID2 has accessed the work network access IP2 at 512. For example, in aparticular embodiment, the time determination component 154 of themapping engine 150 of the system 110 (or system 410, or one or moresecond mapping elements 422) may determine one or more second accesstimes T2 associated with the one or more indications (received at 510)that the second identifier ID2 has accessed the work network access IP2to access one or more networks using the second device PC2. Informationassociated with the one or more second access times T2 (determined at512) may be stored within the mapping database 155 (e.g. by the mappingengine 150, mapping system 410, one or more second mapping elements 422,etc.).

With continued reference to FIG. 5A, in at least some implementations,the process 500 may include determining one or more activities of amobile device M3 accessing the home network access IP1 at 514. In atleast some implementations, determining one or more activities of amobile device M3 accessing the home network access IP1 at 514 mayinclude receiving one or more indications that the mobile device M3having a third identifier ID3 has accessed the home network access IP1at 516. For example, in a particular embodiment, the IP address lookupcomponent 152 of the mapping engine 150 of the system 110 (or mappingsystem 410, or one or more first mapping elements 420) may receive anindication that the third identifier ID3 has accessed the home networkaccess IP1 using the mobile device ID3.

Furthermore, in at least some implementations, determining one or moreactivities of a mobile device M3 accessing the home network access IP1at 514 may also include determining one or more first access times T1associated with the one or more indications that the third identifierID3 has accessed the home network access IP1 at 518. For example, in aparticular embodiment, the time determination component 154 of themapping engine 150 of the system 110 (or system 410, or one or morefirst mapping elements 420) may determine one or more first access timesT1 associated with the one or more indications (received at 516) thatthe third identifier ID3 has accessed the home network access IP1 toaccess one or more networks using the mobile device M3. Informationassociated with the one or more first access times T1 (determined at516) may be stored within the mapping database 155 (e.g. by the mappingengine 150, mapping system 410, one or more first mapping elements 420,etc.).

As further shown in FIG. 5A, in at least some implementations, theprocess 500 may include determining one or more activities of the mobiledevice M3 accessing the work network access IP2 at 520. In at least someimplementations, determining one or more activities of a mobile deviceM3 accessing the work network access IP2 at 520 may include receivingone or more indications that the mobile device M3 having a thirdidentifier ID3 has accessed the work network access IP2 at 522. Forexample, in a particular embodiment, the IP address lookup component 152of the mapping engine 150 of the system 110 (or mapping system 410, orone or more second mapping elements 422) may receive an indication thatthe third identifier ID3 has accessed the work network access IP2 usingthe mobile device ID3.

Furthermore, in at least some implementations, determining one or moreactivities of a mobile device M3 accessing the work network access IP2at 520 may also include determining one or more second access times T2associated with the one or more indications that the third identifierID3 has accessed the work network access IP2 at 524. For example, in aparticular embodiment, the time determination component 154 of themapping engine 150 of the system 110 (or system 410, or one or morefirst mapping elements 420) may determine one or more second accesstimes T2 associated with the one or more indications (received at 522)that the third identifier ID3 has accessed the work network access IP2to access one or more networks using the mobile device M3. Informationassociated with the one or more second access times T2 (determined at524) may be stored within the mapping database 155 (e.g. by the mappingengine 150, mapping system 410, one or more second mapping elements 422,etc.).

With reference to FIG. 5B, in at least some implementations, the process500 may further include mapping together the first identifier ID1 andthe second identifier ID2 to associate both the first identifier ID1 andthe second identifier ID2 with the User A at 530. As noted above, in atleast some implementations, the mapping of the first and secondidentifiers ID1, ID2 (at 530) may be accomplished using a known mappingalgorithm to associate both the first identifier ID1 and the secondidentifier ID2 with the User A (i.e. A={ID1, ID2}) as disclosed, forexample, in U.S. Pat. No. 8,843,394 issued to Cao et al. In at leastsome implementations, the mapping of the first and second identifiersID1, ID2 (at 530) may employ a known algorithm as described more fullybelow with reference to FIG. 6.

As further shown in FIG. 5B, the process 500 further includes mappingtogether the third identifier ID3 with at least one of the firstidentifier ID1 or the second identifier ID2 to associate the thirdidentifier ID3 with the User A at 540. In at least some implementations,the mapping together of the third identifier ID3 with at least one ofthe first identifier ID1 or the second identifier ID2 to associate thethird identifier ID3 with the User A (at 540) may include determining aplurality of first co-location occurrences of the third identifier ID3with at least one of the first identifier ID1 or the second identifierID2. For example, a first co-location occurrence may include an instanceor occurrence of the third identifier ID3 accessing the first networkaccess IP1 within a first time period (or contemporaneously with) atleast one of the first identifier ID1 or the second identifier ID2.Similarly, in at least some implementations, the mapping together of thethird identifier ID3 with at least one of the first identifier ID1 orthe second identifier ID2 to associate the third identifier ID3 with theUser A (at 540) may include determining a plurality of secondco-location occurrences of the third identifier ID3 with at least one ofthe first identifier ID1 or the second identifier ID2. For example, asecond co-location occurrence may include an instance or occurrence ofthe third identifier ID3 accessing the second network access IP2 withina second time period (or contemporaneously with) at least one of thefirst identifier ID1 or the second identifier ID2.

More specifically, in at least some implementations, mapping togetherthe third identifier ID3 with at least one of the first identifier ID1or the second identifier ID2 to associate the third identifier ID3 withthe User A (at 540) may include generating pairs of identifiers for eachactivity log entry (e.g. <IP address, time H>) at 542 so that the twoidentifiers in the pair (e.g. <ID1, ID3>) are in the value field of theactivity log entry, and one of the identifiers in the pair is anidentifier on a device that has been associated with the User A (e.g.ID1, ID2) and the other identifier is the third identifier ID3 of themobile device M3.

Further, the mapping (at 540) may include processing all identifierpairs in the form of <PC identifier, mobile identifier> that are presentin the activity log entries (e.g. ID1, ID2, ID3 may not yet be known).In at least some implementations, the processing (at mapping 540) helpsto find the pairs of <ID1, ID3> or <ID2, ID3> from a large number ofpossible ID pairs as the pairs belonging to the same user A will havehigh co-location occurrence scores at the first location or the secondlocation (or both) (e.g. WS or HS scores). Therefore, while thefollowing description discusses the processing of <ID1, ID3> and <ID2,ID3> for each activity log entry <IP, H>, and the assigning of firstco-location occurrence scores (e.g. WS) and second co-locationoccurrence scores (e.g. HS) to the identifier pairs <ID1, ID3> and <ID2,ID3>, it will be appreciated that in at least some implementations, allidentifier pairs in the <PC identifier, mobile identifier> that arepresent in the log entries are processed in this manner in order todetermine the pairs of <ID1, ID3> or <ID2, ID3> from a large number ofpossible ID pairs.

For example, in at least some implementations, the mapping (at 540)includes, for each activity log entry, if time H is a working hour (e.g.occurs during second time period 417), and if the first identifier ID1is seen on the work network access IP2 at the work location 416, thenthe process 500 may assign to the identifier pair <ID1, ID3> a WorkCo-location score WS at 544. Similarly, for each activity log entry, iftime H is a non-working hour (e.g. occurs during first time period 415),and if the first identifier ID1 is seen on the home network access IP1at the home location 414, then the process 500 may assign to (orincrement) the identifier pair <ID1, ID3> a Home Co-location score HS at546.

With continued reference to FIG. 5B, the mapping (at 540) may alsoinclude, for each activity log entry, if time H is a working hour (e.g.occurs during second time period 417), and if the second identifier ID2is seen on the work network access IP2 at the work location 416, thenthe process 500 may assign to (or increment) the identifier pair <ID2,ID3> a Work Co-location score WS at 548. Similarly, for each activitylog entry, if time H is a non-working hour (e.g. occurs during firsttime period 415), and if the second identifier ID2 is seen on the homenetwork access IP1 at the home location 414, then the process 500 mayassign to (or increment) the identifier pair <ID2, ID3> a HomeCo-location score HS at 550. As noted above, the assigning (orincrementing) of Work Co-location scores and Home Co-location scores maybe performed for all identifier pairs in the form of <PC identifier,mobile identifier> that are present in the activity log entries.

In at least some implementations, the mapping (at 540) may furtherinclude adding the Work Co-location and Home Co-location scores togetherfor each pair of identifiers across all activity log entries <IP, H> at552. The mapping (at 540) may further include, for each mobile deviceidentifier ID3, finding all of its pairing PC identifiers (e.g. ID1 ofPC1, ID2 of PC2, etc.) and associated Work Co-location (WS) and HomeCo-location (HS) scores at 554. In at least some implementations, theresults (at 554) may appear as follows: ID3: ID11 HS1, ID12 WS1, ID13WS2, ID14 HS2 WS3, which may be interpreted as the identifier pair<ID11, ID3> has a Home Co-location score of HS1, the identifier pair<ID12, ID3> has a Work Co-location score of WS1, the identifier pair<ID13, ID3> has a Work Co-location score of WS2, and the identifier pair<ID14, ID3> has a Home Co-location score of HS2 and Work Co-locationscore of WS3.

Next, in at least some implementations, the mapping (at 540) may alsoinclude filtering out all unmapped mobile device identifiers ID3 whichhave only a Home Co-location score (HS) or a Work Co-location score (WS)(and not both) at 556. In other words, for any unmapped identifiers onlyseen in identifier pairs only associated with one of the firstco-location occurrence score or the second co-location occurrence score,such unmapped identifiers associated with such identifier pairs arefiltered out (at 556). The filtering (at 556) may advantageously improvethe accuracy of a subsequent association of a mobile device identifierID3 with the User A by requiring co-location scores at multiplelocations (e.g. home and work locations), thereby improving systemefficiencies and reducing resource usage (e.g. processing requirements,power consumption, storage requirements, etc).

As further shown in FIG. 5B, the mapping (at 540) may further include,for each remaining mobile device identifier ID3 (that is not filteredduring the filtering at 556), selecting the associated PC identifierswith the highest work co-location score WS and home co-location score HSat 558. If the selected highest scoring identifiers (e.g. assume ID11and ID12 are selected at 558) are determined to be already mappedtogether (e.g. during the mapping operations at 530), then the mapping(at 540) may further include mapping the mobile device identifier ID3 toat least one of the selected highest scoring identifiers (e.g. ID11, orID12, or both). Thus, as a result of the mapping together the thirdidentifier ID3 with at least one of the first identifier ID11 or thesecond identifier ID12 to associate the third identifier ID3 with theUser A (at 540), the set of identifiers <ID11, ID12, ID3> stands for thesame person (e.g. User A).

As noted above, techniques and technologies for mapping user identifiersbetween different device ecosystems may provide substantial operationalimprovements in comparison with conventional operations. For example,such techniques and technologies enable appropriately tailoredpersonalization services or products to be provided to a user of adevice, thereby reducing or eliminating unnecessary processingrequirements or energy consumption or other resource usage (e.g.consumption of transmission bandwidth, wear and tear on infrastructure,loss of opportunity considerations, etc.) associated with repeateddelivery of inappropriate personalization services, or repeated attemptsto determine (or re-determine) an identity of a user of a mobile device.Because the techniques and technologies for mapping user identifiers asdisclosed herein may even be employed between different deviceecosystems, such techniques and technologies may operate moreefficiently with fewer computational operations required to achieve thedesired result, with reduced resource usage (e.g., less memory usage,less power consumption, etc.), and with less strain on infrastructure(e.g. reduced bandwidth usage, and less wear and tear on infrastructureassociated with incorrect or inappropriate operations, etc.) incomparison with conventional techniques and technologies.

As noted above, processes for mapping together first and secondidentifiers from devices having the same (or substantially similar)device ecosystems are generally known, as disclosed, for example, inU.S. Pat. No. 8,843,394 issued to Cao et al. For example, FIG. 6 showsan embodiment of a process 600 for mapping together a first identifierID1 and a second identifier ID2 to associate both the first identifierID1 and the second identifier ID2 with a user A. In at least someimplementations, the mapping of the first and second identifiers ID1,ID2 (at 600) may include accessing an activity log including the firstidentifier ID1 and the second identifier ID2 at 602, identifying atleast one linking attribute associated with both the first identifierID1 and the second identifier ID2 at 604, and mapping the firstidentifier ID1 to the second identifier ID2 based on the at least onelinking attribute at 606. Additional aspects of the operationsassociated with mapping of the first and second identifiers ID1, ID2 (at600) are discussed below.

In at least some implementations, the activity logs may include variousactivities, or events, that have been recognized and may be referred toherein as log schema. The log schema may automatically be translated toany recognized job script. In at least some implementations, activitylogging criteria may be established by an internet service provider, anadvertiser, or any other entity that may desire to record activity logs.Exemplary activities may include, but are not limited to, a search queryinput, a browsing session, a page-view, a selection of an item within apage-view, or the like. Along with criteria for the recognition ofactivities, criteria may also be established for organizing activitieswithin the activity log. For example, each event may be designated on adifferent line of the activity log, identifiers with similar propertiesmay be designated on the same line of the activity log, events that arethe same may be designated on the same line, or the like.

In at least some implementations, the activity log may includeregistered or unregistered identifiers associated with each event withinthe activity log. Identifiers may be associated with more than oneevent. For instance, a registered identifier ID1 for the User A may beassociated with a browse session of User A and a search input of User A.Both the browse session and the search event may be recognized asdifferent events but are associated with the same User A. Thus, theregistered identifier ID1 may be the same for each event. Alternatively,the same User A may be associated with a different identifier, eitherregistered or unregistered. For instance, User A may have more than oneaccount (e.g. MSN passport account) and may sign in using a secondpassword identifier. Thus, the two events may be associated with twodifferent registered identifiers belonging to the same user (User A).

The identifiers, whether registered identifiers or unregisteredidentifiers, may be associated with configurations detailing propertiesof each identifier. Exemplary properties include, but are not limitedto, a lifetime of the identifier, a source of the identifier, or thelike. In at least some implementations, the mapping engine 150 (e.g. themapping component 158) of FIG. 2 may be configured to identify theidentifiers that are included in the accessed activity log (e.g.generated by the record keeping component 156). In variousimplementations, the activity log may include a single type ofidentifier or multiple types of identifiers. For example, in at leastsome implementations, an identifier may be a device identifier, apassword identifier, or any other suitable type of identifier.

For instance, assume the following is an activity log that is accessedby the mapping engine 150:

Example 1

Line 1: A1, A2

Line 2: A2, A3

Line 3: A3, A4

In Example 1 above, the type of identifier (e.g., password, device,etc.) is designated by the letter “A”. Thus, in the implementation shownin Example 1, each identifier is assumed to be Type A. In at least someimplementations, a single line of the activity log includes at least twoidentifiers. For the purposes of Example 1, assume that Line 1 includestwo identifiers illustrated as A1 and A2. For example, A1 may be a firstidentifier and A2 may be a second identifier. The mapping engine 150 maybe configured to identify that two identifiers are on the same line ofan activity log. When two identifiers are on the same line of anactivity log, it may be assumed that the identifiers are generated fromthe same event related to a single user.

In at least some implementations, the mapping engine 150 (e.g. themapping component 158) may be configured to identify linking attributesof identifiers. A linking attribute is an attribute that is common tomultiple identifiers and is used to map the identifiers sharing thelinking attribute to one another. Examples of linking attributesinclude, but are not limited to, identifiers positioned on the same lineof an activity log, identifiers appearing in the same browser session,identifiers that are associated with the same user, identifiers that areassociated with the same IP address, or the like. When a linkingattribute is identified, at least part of the mapping engine 150 mayproceed with mapping, or correlating, the identifiers sharing thelinking attribute to one another. The identifiers sharing the linkingattribute may both be registered identifiers, unregistered identifiers,or one may be a registered identifier while the other is an unregisteredidentifier. In at least some implementations, the mapping engine 150 isconfigured to map any identifier to any other identifier by grouping theidentifiers into correlation output lines.

In the Example 1 above, assume that identifiers A1 and A2 are a firstpassword identifier A1 registered to User 1 and a second passwordidentifier A2 registered to User 1, respectively. Both passwordidentifiers may be identified as sharing a linking attribute (e.g., bothare associated with user 1). Thus, the two registered identifiers may bemapped to one another, and any user profile information and/or behaviorinformation associated with each of identifiers A1 and A2 may be, inturn, associated with both identifiers A1 and A2.

Assuming that identifier A1, of Example 1, is a registered passwordidentifier and A2 is an unregistered identifier, the identifyingcomponent may identify that A1 and A2 share a linking attribute (e.g.,both are included on line 1 of the activity log). The two identifiersmay then be mapped to one another. Once identified as sharing a linkingattribute, the mapping component 243 may map A1 and A2 to one another.

In as least some implementations, a subsequent line of the activity logmay then be analyzed to identify any identifiers that include a linkingattribute with any identifiers of Line 1. If a subsequent line includesat least one identifier having a linking attribute with at least oneidentifier of the previous line, the mapping engine 150 (e.g. mappingcomponent 158) is configured to combine the identifiers one line at atime. For example, assume that identifier A2 and identifier A3 share alinking attribute. In that situation, lines 1 and 2 are combined tooutput identifiers A1, A2, A3 as a first correlation output line, or afirst resulting line.

In addition, in at least some implementations, a first resulting linemay be combined with Line 3 to output identifiers A1, A2, A3, A4 as asecond resulting line if Line 3 includes at least one identifier sharinga linking attribute with at least one identifier from the firstresulting line. Additionally, one or more resulting lines may becombined with one or more subsequent lines when there is at least onemerging identifier or an overlapping identifier. For instance, in theexample above, the first resulting line and Line 3 each includedidentifier A3. Identifier A3 is, in turn, recognized as an overlappingidentifier. The combinations may continue until the last line of theactivity log is combined.

In addition, in at least some implementations, when an activity logincludes multiple types of identifiers in a single line, the mappingengine 150 (e.g. mapping component 158) may be configured to identifyeach type of identifier and combine the identifiers one line at a timeand one identifier type at a time when there are at least twoidentifiers in the activity event line. For example, with reference toExample 2 shown below, assume the activity log is accessed by themapping engine 150 (e.g. mapping component 158) and that identifiers A1and A2 are identifiers registered to the same user.

Example 2

Line 1: A1, A2; B1, B2

Line 2: A1, A3; B3, B4

Line 3: A5, A6; B3

In this embodiment, Example 2 illustrates Type A and Type B identifiersincluded in a single line of an activity log. Initially, a determinationis made whether the initial lines have an overlapping identifier. Ifthere is an overlapping identifier, the two lines may be merged. InExample 2 above, both Lines 1 and 2 include identifier A1. Identifier A1is, thus, the overlapping identifier. If there is no overlappingidentifier, the two lines are not immediately merged. The two lines maystill be merged together if, for example, one identifier from each lineshares a linking attribute.

In at least some implementations, based on a determination that Lines 1and 2 include an overlapping identifier, Lines 1 and 2 may be combinedbased on identifier type. Accordingly, identifier type A is combinedfirst and identifier type B is combined second. Assuming that Line 1includes two registered identifiers (i.e., identifiers A1 and A2), theidentifying component 242 identifies that any unregistered identifiersin that activity line (i.e., Line 1) may be mapped to the registeredidentifiers by the mapping engine 150 (e.g. mapping component 158).Alternatively, if Line 1 included only registered identifiers or onlyunregistered identifiers, all of the identifiers included in Line 1 maystill be mapped to one another by the mapping engine 150 (e.g. mappingcomponent 158) if a linking attribute is identified.

When Lines 1 and 2 are combined the combination of Type A identifiersresults as identifiers A1, A2, A3 and the combination of Type Bidentifiers results as identifiers B1, B2, B3, B4. Thus, the resultingfirst output line is identifiers A1, A2, A3; B1, B2, B3, B4 illustratingthe combination of the Type A identifiers and then the combination ofthe Type B identifiers.

Next, in at least some implementations, the mapping engine 150 (e.g.mapping component 158) determines if the first output line and thesubsequent activity line include an overlapping identifier. In Example2, the first output line and Line 3 are identified by the mapping engine150 (e.g. mapping component 158) as both including identifier 133. Thefirst output line may then be combined with Line 3. Again, the Type Aidentifiers may be combined initially and may be followed by thecombination of Type B identifiers or vice versa. Accordingly, thecombination of the Type A identifiers would be identifiers A1, A2, A3,A5, A6 and the combination of the Type B identifiers would beidentifiers B1, B2, B3, B4. Thus, the resulting second output line wouldbe identifiers A1, A2, A3, A5, A6; B1, B2, B3, B4. The combinations maycontinue in this manner until the last line of the activity log isreached.

In at least some implementations, the mapping engine 150 (e.g. mappingcomponent 158) may identify if a linking attribute is present as analternative, or in addition, to an overlapping identifier. Thus, even ifthere is no overlapping identifier, the subsequent line may still bemerged into the preceding or resulting line if at least one identifierfrom each line shares a linking attribute. Once the identifiers aremapped and combined into a correlated output line, the mapping engine150 (e.g. mapping component 158) outputs the correlated output line.

Besides automatically mapping identifiers based on a location within anactivity log line, alternate implementations of the present disclosuremay map identifiers based on alternative criteria. For example,identifiers may be mapped to any other identifier based on properties ofidentifiers. For example, a property of an identifier may be anidentifier's “lifetime” (or useable life) and may be used as a factor inthe correlation of identifiers. Additionally, user properties may alsobe a factor in the correlation of identifiers. For instance, a user mayhave various properties across several devices such as, for example, ahome computer and a mobile phone.

Referring again to FIGS. 4-5, once the mapping of the first, second, andthird identifiers ID1, ID2, ID3 (at 500) is complete, the outputgenerated may be utilized to create an increased targeted audience forcustomized personalization services or products (e.g. advertisements).In at least some implementations, the number of identifiers that areassociated with user information may increase as a result of mappingidentifiers. Thus, a target audience for personalized services orproducts may also be larger than before the identifiers were mapped.Additionally, more information is available to generate personalizedservices or products for a target group of identifiers since informationand/or behavior for each of the plurality of identifiers with the targetgroup is available to customize the personalized services or productsonce the plurality of identifiers are mapped together.

Techniques and technologies disclosed herein for mapping useridentifiers between different device ecosystems may be described in thegeneral context of computer code or machine-useable instructions,including computer-executable instructions such as program modules,being executed by a computer or other device. Generally, program modulesincluding routines, programs, objects, components, data structures,etc., refer to code that perform particular tasks or implementparticular abstract data types. Various embodiments of the invention maybe practiced in a variety of system configurations, including hand-helddevices, consumer electronics, general-purpose computers, more specialtycomputing devices, etc. In addition, various embodiments of theinvention may also be practiced in distributed computing environmentswhere tasks are performed by remote-processing devices that are linkedthrough a communications network.

Furthermore, techniques and technologies disclosed herein for mappinguser identifiers between different device ecosystems may be implementedon a wide variety of devices and platforms. For example, FIG. 7 is adiagram of an embodiment of a computer system environment 700 that maybe employed for mapping user identifiers between different deviceecosystems. As shown in FIG. 7, the example computer system environment700 includes one or more processors (or processing units) 702, specialpurpose circuitry 782, memory 704, and a bus 706 that operativelycouples various system components, including the memory 704, to the oneor more processors 702 and special purpose circuitry 782 (e.g., ASIC,FPGA, etc.).

The bus 706 may represent one or more of any of several types of busstructures, including a memory bus or memory controller, a peripheralbus, an accelerated graphics port, and a processor or local bus usingany of a variety of bus architectures. In at least some implementations,the memory 704 includes read only memory (ROM) 708 and random accessmemory (RAM) 710. A basic input/output system (BIOS) 712, containing thebasic routines that help to transfer information between elements withinthe system 700, such as during start-up, is stored in ROM 708.

The example system environment 700 further includes a hard disk drive714 for reading from and writing to a hard disk (not shown), and isconnected to the bus 706 via a hard disk driver interface 716 (e.g., aSCSI, ATA, or other type of interface). A magnetic disk drive 718 forreading from and writing to a removable magnetic disk 720, is connectedto the system bus 706 via a magnetic disk drive interface 722.Similarly, an optical disk drive 724 for reading from or writing to aremovable optical disk 726 such as a CD ROM, DVD, or other opticalmedia, connected to the bus 706 via an optical drive interface 728. Thedrives and their associated computer-readable media may providenonvolatile storage of computer readable instructions, data structures,program modules and other data for the system environment 700. Althoughthe system environment 700 described herein employs a hard disk, aremovable magnetic disk 720 and a removable optical disk 726, it shouldbe appreciated by those skilled in the art that other types of computerreadable media which can store data that is accessible by a computer,such as magnetic cassettes, flash memory cards, digital video disks,random access memories (RAMs) read only memories (ROM), and the like,may also be used.

The computer-readable media included in the system memory 700 can be anyavailable or suitable media, including volatile and nonvolatile media,and removable and non-removable media, and may be implemented in anymethod or technology suitable for storage of information such ascomputer-readable instructions, data structures, program modules, orother data. More specifically, suitable computer-readable media mayinclude random access memory (RAM), read only memory (ROM), electricallyerasable programmable ROM (EEPROM), flash memory or other memorytechnology, compact disk ROM (CD-ROM), digital versatile disks (DVD) orother optical disk storage, magnetic cassettes, magnetic tape, magneticdisk storage or other magnetic storage devices, or any other medium,including paper, punch cards and the like, which can be used to storethe desired information. As used herein, the term “computer-readablemedia” is not intended to include transitory signals.

As further shown in FIG. 7, a number of program modules may be stored onthe memory 704 (e.g., the ROM 708 or the RAM 710) including an operatingsystem 730, one or more application programs 732, other program modules734, and program data 736 (e.g., the data store 720, image data, audiodata, three dimensional object models, etc.). Alternately, these programmodules may be stored on other computer-readable media, including thehard disk, the magnetic disk 720, or the optical disk 726. For purposesof illustration, programs and other executable program components, suchas the operating system 730, are illustrated in FIG. 7 as discreteblocks, although it is recognized that such programs and componentsreside at various times in different storage components of the systemenvironment 700, and may be executed by the processor(s) 702 or thespecial purpose circuitry 782 of the system environment 700.

A user may enter commands and information into the system environment700 through input devices such as a keyboard 738 and a pointing device740. Other input devices (not shown) may include a microphone, joystick,game pad, satellite dish, scanner, or the like. Still other inputdevices, such as a Natural User Interface (NUI) device 769, or userinterface 725, include or involve one or more aspects of a Natural UserInterface (NUI) that enables a user to interact with the systemenvironment 700 in a “natural” manner, free from artificial constraintsimposed by conventional input devices such as mice, keyboards, remotecontrols, and the like. For example, in at least some embodiments, theNUI device 769 may rely on speech recognition, touch and stylusrecognition, one or more biometric inputs, gesture recognition both onscreen and adjacent to the screen, air gestures, head and eye (or gaze)tracking, voice and speech, vision, touch, hover, gestures, machineintelligence, as well as technologies for sensing brain activity usingelectric field sensing electrodes (EEG and related methods) to receiveinputs. In addition, in at least some embodiments, an NUI may involve orincorporate one or more aspects of touch sensitive displays, voice andspeech recognition, intention and goal understanding, motion gesturedetection using depth cameras (such as stereoscopic or time-of-flightcamera systems, infrared camera systems, RGB camera systems andcombinations of these), motion gesture detection usingaccelerometers/gyroscopes, facial recognition, 3D displays, head, eye,and gaze tracking, immersive augmented reality and virtual realitysystems, all of which provide a more natural interface.

These and other input devices are connected to the processing unit 702and special purpose circuitry 782 through an interface 742 or acommunication interface 746 (e.g. video adapter) that is coupled to thesystem bus 706. A user interface 725 (e.g., display, monitor, or anyother user interface device) may be connected to the bus 706 via aninterface, such as a video adapter 746. In addition, the systemenvironment 700 may also include other peripheral output devices (notshown) such as speakers and printers.

The system environment 700 may operate in a networked environment usinglogical connections to one or more remote computers (or servers) 758.Such remote computers (or servers) 358 may be a personal computer, aserver, a router, a network PC, a peer device or other common networknode. The logical connections depicted in FIG. 7 include one or more ofa local area network (LAN) 748 and a wide area network (WAN) 750. Suchnetworking environments are commonplace in offices, enterprise-widecomputer networks, intranets, and the Internet. In this embodiment, thesystem environment 700 also includes one or more broadcast tuners 756.The broadcast tuner 756 may receive broadcast signals directly (e.g.,analog or digital cable transmissions fed directly into the tuner 756)or via a reception device (e.g., via an antenna 757, a satellite dish,etc.).

When used in a LAN networking environment, the system environment 700may be connected to the local area network 748 through a networkinterface (or adapter) 752. When used in a WAN networking environment,the system environment 700 typically includes a modem 754 or other means(e.g., router) for establishing communications over the wide areanetwork 750, such as the Internet. The modem 754, which may be internalor external, may be connected to the bus 706 via the serial portinterface 742. Similarly, the system environment 700 may exchange (sendor receive) wireless signals 753 with one or more remote devices using awireless interface 755 coupled to a wireless communicator 757 (e.g., anantenna, a satellite dish, a transmitter, a receiver, a transceiver, aphotoreceptor, a photodiode, an emitter, a receptor, etc.).

In a networked environment, program modules depicted relative to thesystem environment 700, or portions thereof, may be stored in the memory704, or in a remote memory storage device. More specifically, as furthershown in FIG. 7, a special purpose component 780 may be stored in thememory 704 of the system environment 700. The special purpose component780 may be implemented using software, hardware, firmware, or anysuitable combination thereof. In cooperation with the other componentsof the system environment 700, such as the processing unit 702 or thespecial purpose circuitry 782, the special purpose component 780 may beoperable to perform one or more implementations of techniques formapping user identifiers between different device ecosystems asdescribed above (e.g., example process 300 of FIG. 3, example process500 of FIGS. 5A-5B, example process 600 of FIG. 6, etc.) (e.g., speechrecognition component, gesture recognition component, touch recognitioncomponent, biometric identification component, etc. or combinationsthereof).

Generally, application programs and program modules executed on thesystem environment 700 may include routines, programs, objects,components, data structures, etc., for performing particular tasks orimplementing particular abstract data types. These program modules andthe like may be executed as a native code or may be downloaded andexecuted, such as in a virtual machine or other just-in-time compilationexecution environments. Typically, the functionality of the programmodules may be combined or distributed as desired in variousimplementations.

FIG. 8 shows an embodiment of a networked environment 800 for mappinguser identifiers between different device ecosystems. The networkedenvironment 800 shown in FIG. 8 may include one or more of the variouscomponents or aspects described above with respect to FIGS. 1-7 (orshown or described elsewhere herein).

In this embodiment, the example networked environment 800 includes amapping platform 810. The networked environment 800 may also include oneor more database servers 820, data stores 822, desktop computers 824,laptop computers 825, communication devices 826 (e.g., cell phones,smart phones, personal data assistants, etc.), tablet (or notebook)computers 827, and servers 828, and such devices may be operativelycoupled to the mapping platform 810 via one or more networks 830 (e.g.,a LAN, WAN, a local communication system, a global communication system,the Internet, a cellular communication system, a telephoniccommunication system, etc.).

In at least some implementations, the mapping platform 810 may beconfigured to perform one or more of the mapping operations describedabove, including the processes and operations described above withreference to FIGS. 1-7. In at least some other implementations, one ormore of the processes and operations described herein may be distributedamong the mapping platform 810 and the other devices 820-830 of thenetworked environment 800.

The one or more networks 830 may comprise any suitable topology ofservers, clients, Internet service providers, or other suitablecommunication media, and in various alternate implementations, may havea static or dynamic topology. The one or more networks 830 may include asecure network (e.g., an enterprise network), an unsecure network (e.g.,a wireless open network, the Internet, etc.), and may also coordinatecommunication over other networks (e.g., PSTN, cellular networks, etc.).By way of example, and not limitation, the one or more networks 830 maybe coupled by any suitable communication technologies, including, forexample, electromagnetic signals, acoustic signals, RF signals, infraredsignals and any other suitable communication technologies or signals.

In view of the disclosure of techniques and technologies for mappinguser identifiers between different device ecosystems provided herein, afew representative embodiments are summarized below. It should beappreciated that the following summary of representative embodiments isnot intended to be exhaustive of all possible embodiments, and thatadditional embodiments may be readily conceived from the disclosure oftechniques and technologies for mapping user identifiers betweendifferent device ecosystems provided herein.

For example, in at least some embodiments, a system for mapping at leastone of a first identifier or a second identifier with a thirdidentifier, the first and second identifiers being associated with auser and with a first device ecosystem, the third identifier beingassociated with a second device ecosystem different from the firstdevice ecosystem, the system may include a processing componentoperatively coupled to a memory, and a mapping engine at least partiallydisposed in the memory. In at least some embodiments, the mapping enginemay be configured to map the third identifier associated with the seconddevice ecosystem with at least one of the first identifier or the secondidentifier, the mapping being based at least partially on (i) aplurality of first co-location occurrences of the third identifier withthe first identifier, and (ii) a plurality of second co-locationoccurrences of the third identifier with the second identifier. In atleast some embodiments, the mapping engine may be further configured toprovide an indication of an association of the third identifier with theuser.

In at least some embodiments, the plurality of first co-locationoccurrences comprises a plurality of instances of the third identifierand the first identifier accessing a first network access, and whereinthe plurality of second co-location occurrences comprises a plurality ofinstances of the third identifier and the second identifier accessing asecond network access. Similarly, in at least some embodiments, theplurality of first co-location occurrences comprises a plurality ofinstances of the third identifier and the first identifier accessing afirst network access within a first time period, and wherein theplurality of second co-location occurrences comprises a plurality ofinstances of the third identifier and the second identifier accessing asecond network access within a second time period. Additionally, in atleast some embodiments, the plurality of first co-location occurrencescomprises a plurality of instances of the third identifier and the firstidentifier contemporaneously accessing a first network access, and theplurality of second co-location occurrences comprises a plurality ofinstances of the third identifier and the second identifiercontemporaneously accessing a second network access.

In addition, in at least some embodiments, the first device ecosystemcomprises an ecosystem associated with at least one of a personalcomputer, a desktop computer, a laptop computer, a server, a data store,a communication device, a tablet computer, or a mainframe computer, andthe second device ecosystem comprises an ecosystem associated with amobile device. Similarly, in at least some embodiments, the first deviceecosystem comprises an ecosystem associated with a first operatingsystem, and the second device ecosystem comprises an ecosystemassociated with a second operating system.

In at least some embodiments, the mapping engine configured to map athird identifier associated with a second device ecosystem with at leastone of the first identifier or the second identifier comprises a mappingengine configured to: access activity log information indicative of oneor more unmapped identifiers having accessed first and second networkaccesses, the one or more unmapped identifiers including the thirdidentifier, the activity log information further including informationindicative of the first and second identifiers having accessed at leastone of the first network access or the second network access; for eachidentifier pair including the third identifier and the first identifier,assign or increment a first co-location occurrence score for each timethe third identifier and the first identifier have contemporaneouslyaccessed the first network access; for each identifier pair includingthe third identifier and the second identifier, assign or increment afirst co-location occurrence score for each time the third identifierand the second identifier have contemporaneously accessed the firstnetwork access; for each identifier pair including the third identifierand the first identifier, assign or increment a second co-locationoccurrence score for each time the third identifier and the firstidentifier have contemporaneously accessed the second network access;for each identifier pair including the third identifier and the secondidentifier, assign or increment a second co-location occurrence scorefor each time the third identifier and the second identifier havecontemporaneously accessed the second network access; for any unmappedidentifiers only seen in identifier pairs only associated with one ofthe first co-location occurrence score or the second co-locationoccurrence score, filter out such unmapped identifiers associated withsuch identifier pairs; for each identifier pair, add the firstco-location occurrence scores and the second co-location occurrencescores across all activity log information; and if either the identifierpair having the highest first co-location occurrence score or theidentifier pair having the highest second co-location occurrence scoreincludes at least one of the first identifier or the second identifier,then map the third identifier to the corresponding at least one of thefirst identifier or the second identifier.

Alternately, in at least some implementations, the mapping engineconfigured to map a third identifier associated with a second deviceecosystem with at least one of the first identifier or the secondidentifier comprises a mapping engine configured to: access activity loginformation indicative of one or more unmapped identifiers havingaccessed first and second network accesses, the one or more unmappedidentifiers including the third identifier, the activity log informationfurther including information indicative of the first and secondidentifiers having accessed at least one of the first network access orthe second network access; generate one or more identifier pairs, eachidentifier pair including at least one of the one or more unmappedidentifiers and one of the first identifier or the second identifier;for each identifier pair, assign or increment a first co-locationoccurrence score for each time both identifiers of the identifier pairhave accessed the first network access within a first specified periodof time; for each identifier pair, assign or increment a secondco-location occurrence score for each time both identifiers of theidentifier pair have accessed the second network access within a secondspecified period of time; for each identifier pair, add the firstco-location occurrence scores and the second co-location occurrencescores across all activity log information; for any unmapped identifiershaving only one of the first co-location occurrence score or the secondco-location occurrence score, filter out such unmapped identifier; foreach remaining unmapped identifier, determine the identifier pair havinga highest first co-location occurrence score and the identifier pairhaving a highest second co-location score; and if either the identifierpair having the highest first co-location occurrence score or theidentifier pair having the highest second co-location occurrence scoreincludes at least one of the first identifier or the second identifier,then map the third identifier to the corresponding at least one of thefirst identifier or the second identifier.

In addition, in at least some implementations, a system may furtherinclude a personalized services or products component configured toreceive the indication of the association of the third identifier withthe user and to provide at least one of a personalized service orpersonalized product based at least partially on the indication of theassociation of the third identifier with the user. Similarly, in atleast some implementations, a system may further include a personalizedservices or products component configured to receive the indication ofthe association of the third identifier with the user, to select orgenerate a targeted advertisement tailored to the user based at leastpartially on the indication of the association of the third identifierwith the user, and to provide the targeted advertisement customized to adevice associated with the third identifier.

In addition, in at least some implementations, the mapping engine isfurther configured to map the first identifier with the secondidentifier.

In still other implementations, a method for mapping at least one of afirst identifier or a second identifier with a third identifier, thefirst and second identifiers being associated with a user and with afirst device ecosystem, the third identifier being associated with asecond device ecosystem different from the first device ecosystem, themethod at least partially implemented using one or more processingcomponents, the method including mapping the third identifier associatedwith the second device ecosystem with at least one of the firstidentifier or the second identifier, the second device ecosystem beingdifferent from the first device ecosystem, and providing an indicationof an association of the third identifier with the user. In at leastsome implementations, the mapping includes determining a plurality offirst co-location occurrence scores indicative of the third identifierand one or more other identifiers accessing a first network access,determining a plurality of second co-location occurrence scoresindicative of the third identifier and one or more other identifiersaccessing a second network access, processing the plurality of firstco-location occurrence scores and the plurality of second co-locationoccurrence scores to determine a highest first co-location occurrencescore and a highest second co-location occurrence score; and if eitherthe highest first co-location occurrence score corresponds to at leastone of the first or second identifier, or the highest second co-locationoccurrence score corresponds to at least one of the first or secondidentifier, then map the third identifier to the corresponding at leastone of the first identifier or the second identifier.

In at least some implementations, determining a plurality of firstco-location occurrences scores indicative of the third identifier andone or more other identifiers accessing a first network access comprisesdetermining a plurality of first co-location occurrences scoresindicative of the third identifier and one or more other identifiersaccessing a first network access within a first time period. Similarly,in at least some implementations, determining a plurality of firstco-location occurrences scores indicative of the third identifier andone or more other identifiers accessing a first network access comprisesdetermining a plurality of first co-location occurrences scoresindicative of the third identifier and one or more other identifierscontemporaneously accessing a first network access.

Additionally, in at least some implementations, the first deviceecosystem comprises an ecosystem associated with at least one of apersonal computer, a desktop computer, a laptop computer, a server, adata store, a communication device, a tablet computer, or a mainframecomputer, and the second device ecosystem comprises an ecosystemassociated with a mobile device.

In further implementations, mapping a third identifier associated with asecond device ecosystem with at least one of the first identifier or thesecond identifier comprises: accessing activity log informationindicative of one or more unmapped identifiers having accessed first andsecond network accesses, the one or more unmapped identifiers includingthe third identifier, the activity log information further includinginformation indicative of the first and second identifiers havingaccessed at least one of the first network access or the second networkaccess; for each identifier pair including the third identifier and thefirst identifier, assigning or incrementing the first co-locationoccurrence score for each time the third identifier and the firstidentifier have contemporaneously accessed the first network access; foreach identifier pair including the third identifier and the secondidentifier, assigning or incrementing the first co-location occurrencescore for each time the third identifier and the second identifier havecontemporaneously accessed the first network access; for each identifierpair including the third identifier and the first identifier, assigningor incrementing the second co-location occurrence score for each timethe third identifier and the first identifier have contemporaneouslyaccessed the second network access; for each identifier pair includingthe third identifier and the second identifier, assigning orincrementing the second co-location occurrence score for each time thethird identifier and the second identifier have contemporaneouslyaccessed the second network access; for any unmapped identifier havingonly one of the first co-location occurrence score or the secondco-location occurrence score, filtering out such unmapped identifiersassociated with such identifier pairs; and for each identifier pair,adding the first co-location occurrence scores and the secondco-location occurrence scores across all activity log information.

In still other implementations, a method may further include providingat least one of a personalized service or personalized product to adevice associated with the third identifier based at least partially onthe indication of the association of the third identifier with the user.

In at least some implementations, one or more computer-readable mediabearing one or more instructions that, when executed by one or moreprocessing components, perform operations for mapping at least one of afirst identifier or a second identifier with a third identifier, thefirst and second identifiers being associated with a user and with afirst device ecosystem, the third identifier being associated with asecond device ecosystem different from the first device ecosystem, theoperations comprising: mapping the third identifier associated with thesecond device ecosystem with at least one of the first identifier or thesecond identifier, and providing an indication of an association of thethird identifier with the user. In at least some implementations, themapping includes: determining a plurality of first co-locationoccurrences scores indicative of the third identifier and one or moreother identifiers accessing a first network access, determining aplurality of second co-location occurrence scores indicative of thethird identifier and one or more other identifiers accessing a secondnetwork access, processing the plurality of first co-location occurrencescores and the plurality of second co-location occurrence scores todetermine a highest first co-location occurrence score and a highestsecond co-location occurrence score; and if either the highest firstco-location occurrence score corresponds to at least one of the first orsecond identifier, or the highest second co-location occurrence scorecorresponds to at least one of the first or second identifier, then mapthe third identifier to the corresponding at least one of the firstidentifier or the second identifier.

In addition, in some implementations, mapping a third identifierassociated with a second device ecosystem with at least one of the firstidentifier or the second identifier comprises accessing activity loginformation indicative of one or more unmapped identifiers havingaccessed first and second network accesses, the one or more unmappedidentifiers including the third identifier, the activity log informationfurther including information indicative of the first and secondidentifiers having accessed at least one of the first network access orthe second network access; for each identifier pair including the thirdidentifier and the first identifier, assigning or incrementing the firstco-location occurrence score for each time the third identifier and thefirst identifier have contemporaneously accessed the first networkaccess; for each identifier pair including the third identifier and thesecond identifier, assigning or incrementing the first co-locationoccurrence score for each time the third identifier and the secondidentifier have contemporaneously accessed the first network access; foreach identifier pair including the third identifier and the firstidentifier, assigning or incrementing the second co-location occurrencescore for each time the third identifier and the first identifier havecontemporaneously accessed the second network access; for eachidentifier pair including the third identifier and the secondidentifier, assigning or incrementing the second co-location occurrencescore for each time the third identifier and the second identifier havecontemporaneously accessed the second network access; for any unmappedidentifier having only one of the first co-location occurrence score orthe second co-location occurrence score, filtering out such unmappedidentifiers associated with such identifier pairs; and for eachidentifier pair, adding the first co-location occurrence scores and thesecond co-location occurrence scores across all activity loginformation.

Similarly, in at least some implementations, one or morecomputer-readable media may further include one or more instructions forproviding at least one of a personalized service or personalized productto a device associated with the third identifier based at leastpartially on the indication of the association of the third identifierwith the user.

CONCLUSION

Those skilled in the art will recognize that some aspects of theembodiments disclosed herein can be implemented in standard integratedcircuits, and also as one or more computer programs running on one ormore computers, and also as one or more software programs running on oneor more processors, and also as firmware, as well as virtually anycombination thereof. It will be further understood that designing thecircuitry and/or writing the code for the software and/or firmware couldbe accomplished by a person skilled in the art in light of the teachingsand explanations of this disclosure.

The foregoing detailed description has set forth various embodiments ofthe devices and/or processes via the use of block diagrams, flowcharts,and/or examples. Insofar as such block diagrams, flowcharts, and/orexamples contain one or more functions and/or operations, it will beunderstood by those within the art that each function and/or operationwithin such block diagrams, flowcharts, or examples can be implemented,individually and/or collectively, by a wide range of hardware, software,firmware, or virtually any combination thereof. It will be appreciatedthat the embodiments of techniques and technologies described above arenot exhaustive of all possible embodiments considered to be within thescope of the present disclosure, and that additional embodiments may beconceived based on the subject matter disclosed herein. For example, inalternate embodiments one or more elements or components of thetechniques and technologies described above may be re-arranged,re-ordered, modified, or even omitted to provide additional embodimentsthat are still considered to be within the scope of the presentdisclosure.

Alternately, or in addition, the techniques and technologies describedherein can be performed, at least in part, by one or more hardware logiccomponents. For example, and without limitation, illustrative types ofhardware logic components that can be used include Field-ProgrammableGate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs),Application-Specific Standard Products (ASSPs), System-On-a-Chip systems(SOCs), Complex Programmable Logic Devices (CPLDs), etc. However, thoseskilled in the art will recognize that some aspects of the embodimentsdisclosed herein, in whole or in part, can be equivalently implementedin standard integrated circuits, as one or more computer programsrunning on one or more computers (e.g., as one or more programs runningon one or more computer systems), as one or more programs running on oneor more processors (e.g., as one or more programs running on one or moremicroprocessors), as firmware, or as virtually any combination thereof,and that designing the circuitry and/or writing the code for thesoftware and or firmware would be well within the skill of one of skillin the art in light of this disclosure.

Although the subject matter has been described in language specific tostructural features and/or acts, it is to be understood that the subjectmatter defined in the appended claims is not necessarily limited to thespecific features or acts described. Rather, the specific features andacts described above are disclosed as examples of implementing theclaims and other equivalent features and acts are intended to be withinthe scope of the claims. The various embodiments and implementationsdescribed above are provided by way of illustration only and should notbe construed as limiting various modifications and changes that may bemade to the embodiments and implementations described above withoutdeparting from the spirit and scope of the disclosure.

What is claimed is:
 1. An identifier mapping system for mapping at leastone of a first identifier or a second identifier with a thirdidentifier, the first and second identifiers being associated with auser and with a first device ecosystem, the third identifier beingassociated with a second device ecosystem different from the firstdevice ecosystem, the system comprising: a processing componentoperatively coupled to a memory; a mapping engine at least partiallydisposed in the memory and configured to: map the third identifierassociated with the second device ecosystem with at least one of thefirst identifier or the second identifier, the mapping being based atleast partially on (i) a plurality of first co-location occurrences ofthe third identifier with the first identifier, and (ii) a plurality ofsecond co-location occurrences of the third identifier with the secondidentifier; and provide an indication of an association of the thirdidentifier with the user.
 2. The system of claim 1, wherein theplurality of first co-location occurrences comprises a plurality ofinstances of the third identifier and the first identifier accessing afirst network access, and wherein the plurality of second co-locationoccurrences comprises a plurality of instances of the third identifierand the second identifier accessing a second network access.
 3. Thesystem of claim 1, wherein the plurality of first co-locationoccurrences comprises a plurality of instances of the third identifierand the first identifier accessing a first network access within a firsttime period, and wherein the plurality of second co-location occurrencescomprises a plurality of instances of the third identifier and thesecond identifier accessing a second network access within a second timeperiod.
 4. The system of claim 1, wherein the plurality of firstco-location occurrences comprises a plurality of instances of the thirdidentifier and the first identifier contemporaneously accessing a firstnetwork access, and wherein the plurality of second co-locationoccurrences comprises a plurality of instances of the third identifierand the second identifier contemporaneously accessing a second networkaccess.
 5. The system of claim 1, wherein the first device ecosystemcomprises an ecosystem associated with at least one of a personalcomputer, a desktop computer, a laptop computer, a server, a data store,a communication device, a tablet computer, or a mainframe computer, andwherein the second device ecosystem comprises an ecosystem associatedwith a mobile device.
 6. The system of claim 1, wherein the first deviceecosystem comprises an ecosystem associated with a first operatingsystem, and wherein the second device ecosystem comprises an ecosystemassociated with a second operating system.
 7. The system of claim 1,wherein the mapping engine configured to map a third identifierassociated with a second device ecosystem with at least one of the firstidentifier or the second identifier comprises: a mapping engineconfigured to: access activity log information indicative of one or moreunmapped identifiers having accessed first and second network accesses,the one or more unmapped identifiers including the third identifier, theactivity log information further including information indicative of thefirst and second identifiers having accessed at least one of the firstnetwork access or the second network access; for each identifier pairincluding the third identifier and the first identifier, assign orincrement a first co-location occurrence score for each time the thirdidentifier and the first identifier have contemporaneously accessed thefirst network access; for each identifier pair including the thirdidentifier and the second identifier, assign or increment a firstco-location occurrence score for each time the third identifier and thesecond identifier have contemporaneously accessed the first networkaccess; for each identifier pair including the third identifier and thefirst identifier, assign or increment a second co-location occurrencescore for each time the third identifier and the first identifier havecontemporaneously accessed the second network access; for eachidentifier pair including the third identifier and the secondidentifier, assign or increment a second co-location occurrence scorefor each time the third identifier and the second identifier havecontemporaneously accessed the second network access; for any unmappedidentifiers only seen in identifier pairs only associated with one ofthe first co-location occurrence score or the second co-locationoccurrence score, filter out such unmapped identifiers associated withsuch identifier pairs; for each identifier pair, add the firstco-location occurrence scores and the second co-location occurrencescores across all activity log information; and if either the identifierpair having the highest first co-location occurrence score or theidentifier pair having the highest second co-location occurrence scoreincludes at least one of the first identifier or the second identifier,then map the third identifier to the corresponding at least one of thefirst identifier or the second identifier.
 8. The system of claim 1,wherein the mapping engine configured to map a third identifierassociated with a second device ecosystem with at least one of the firstidentifier or the second identifier comprises: a mapping engineconfigured to: access activity log information indicative of one or moreunmapped identifiers having accessed first and second network accesses,the one or more unmapped identifiers including the third identifier, theactivity log information further including information indicative of thefirst and second identifiers having accessed at least one of the firstnetwork access or the second network access; generate one or moreidentifier pairs, each identifier pair including at least one of the oneor more unmapped identifiers and one of the first identifier or thesecond identifier; for each identifier pair, assign or increment a firstco-location occurrence score for each time both identifiers of theidentifier pair have accessed the first network access within a firstspecified period of time; for each identifier pair, assign or incrementa second co-location occurrence score for each time both identifiers ofthe identifier pair have accessed the second network access within asecond specified period of time; for each identifier pair, add the firstco-location occurrence scores and the second co-location occurrencescores across all activity log information; for any unmapped identifiershaving only one of the first co-location occurrence score or the secondco-location occurrence score, filter out such unmapped identifier; foreach remaining unmapped identifier, determine the identifier pair havinga highest first co-location occurrence score and the identifier pairhaving a highest second co-location score; and if either the identifierpair having the highest first co-location occurrence score or theidentifier pair having the highest second co-location occurrence scoreincludes at least one of the first identifier or the second identifier,then map the third identifier to the corresponding at least one of thefirst identifier or the second identifier.
 9. The system of claim 1,further comprising: a personalized services or products componentconfigured to receive the indication of the association of the thirdidentifier with the user and to provide at least one of a personalizedservice or personalized product based at least partially on theindication of the association of the third identifier with the user. 10.The system of claim 1, further comprising: a personalized services orproducts component configured to receive the indication of theassociation of the third identifier with the user, to select or generatea targeted advertisement tailored to the user based at least partiallyon the indication of the association of the third identifier with theuser, and to provide the targeted advertisement customized to a deviceassociated with the third identifier.
 11. The system of claim 1, whereinthe mapping engine is further configured to: map the first identifierwith the second identifier.
 12. A method for mapping at least one of afirst identifier or a second identifier with a third identifier, thefirst and second identifiers being associated with a user and with afirst device ecosystem, the third identifier being associated with asecond device ecosystem different from the first device ecosystem, themethod at least partially implemented using one or more processingcomponents, the method comprising: mapping the third identifierassociated with the second device ecosystem with at least one of thefirst identifier or the second identifier, the mapping being based atleast partially on (i) determining a plurality of first co-locationoccurrence scores indicative of the third identifier and one or moreother identifiers accessing a first network access, (ii) determining aplurality of second co-location occurrence scores indicative of thethird identifier and one or more other identifiers accessing a secondnetwork access, (iii) processing the plurality of first co-locationoccurrence scores and the plurality of second co-location occurrencescores to determine a highest first co-location occurrence score and ahighest second co-location occurrence score; and (iv) if either thehighest first co-location occurrence score corresponds to at least oneof the first or second identifier, or the highest second co-locationoccurrence score corresponds to at least one of the first or secondidentifier, then map the third identifier to the corresponding at leastone of the first identifier or the second identifier; and providing anindication of an association of the third identifier with the user. 13.The method of claim 12, wherein determining a plurality of firstco-location occurrences scores indicative of the third identifier andone or more other identifiers accessing a first network access comprisesdetermining a plurality of first co-location occurrences scoresindicative of the third identifier and one or more other identifiersaccessing a first network access within a first time period.
 14. Themethod of claim 12, wherein determining a plurality of first co-locationoccurrences scores indicative of the third identifier and one or moreother identifiers accessing a first network access comprises determininga plurality of first co-location occurrences scores indicative of thethird identifier and one or more other identifiers contemporaneouslyaccessing a first network access.
 15. The method of claim 12, whereinthe first device ecosystem comprises an ecosystem associated with atleast one of a personal computer, a desktop computer, a laptop computer,a server, a data store, a communication device, a tablet computer, or amainframe computer, and wherein the second device ecosystem comprises anecosystem associated with a mobile device.
 16. The method of claim 12,wherein mapping a third identifier associated with a second deviceecosystem with at least one of the first identifier or the secondidentifier comprises: accessing activity log information indicative ofone or more unmapped identifiers having accessed first and secondnetwork accesses, the one or more unmapped identifiers including thethird identifier, the activity log information further includinginformation indicative of the first and second identifiers havingaccessed at least one of the first network access or the second networkaccess; for each identifier pair including the third identifier and thefirst identifier, assigning or incrementing the first co-locationoccurrence score for each time the third identifier and the firstidentifier have contemporaneously accessed the first network access; foreach identifier pair including the third identifier and the secondidentifier, assigning or incrementing the first co-location occurrencescore for each time the third identifier and the second identifier havecontemporaneously accessed the first network access; for each identifierpair including the third identifier and the first identifier, assigningor incrementing the second co-location occurrence score for each timethe third identifier and the first identifier have contemporaneouslyaccessed the second network access; for each identifier pair includingthe third identifier and the second identifier, assigning orincrementing the second co-location occurrence score for each time thethird identifier and the second identifier have contemporaneouslyaccessed the second network access; for any unmapped identifier havingonly one of the first co-location occurrence score or the secondco-location occurrence score, filtering out such unmapped identifiersassociated with such identifier pairs; and for each identifier pair,adding the first co-location occurrence scores and the secondco-location occurrence scores across all activity log information. 17.The method of claim 12, further comprising: providing at least one of apersonalized service or personalized product to a device associated withthe third identifier based at least partially on the indication of theassociation of the third identifier with the user.
 18. One or morecomputer-readable media bearing one or more instructions that, whenexecuted by one or more processing components, perform operations formapping at least one of a first identifier or a second identifier with athird identifier, the first and second identifiers being associated witha user and with a first device ecosystem, the third identifier beingassociated with a second device ecosystem different from the firstdevice ecosystem, the operations comprising: mapping the thirdidentifier associated with the second device ecosystem with at least oneof the first identifier or the second identifier, the mapping including:determining a plurality of first co-location occurrences scoresindicative of the third identifier and one or more other identifiersaccessing a first network access, determining a plurality of secondco-location occurrence scores indicative of the third identifier and oneor more other identifiers accessing a second network access, processingthe plurality of first co-location occurrence scores and the pluralityof second co-location occurrence scores to determine a highest firstco-location occurrence score and a highest second co-location occurrencescore; and if either the highest first co-location occurrence scorecorresponds to at least one of the first or second identifier, or thehighest second co-location occurrence score corresponds to at least oneof the first or second identifier, then map the third identifier to thecorresponding at least one of the first identifier or the secondidentifier; and providing an indication of an association of the thirdidentifier with the user.
 19. The one or more computer-readable media ofclaim 18, wherein mapping a third identifier associated with a seconddevice ecosystem with at least one of the first identifier or the secondidentifier comprises: accessing activity log information indicative ofone or more unmapped identifiers having accessed first and secondnetwork accesses, the one or more unmapped identifiers including thethird identifier, the activity log information further includinginformation indicative of the first and second identifiers havingaccessed at least one of the first network access or the second networkaccess; for each identifier pair including the third identifier and thefirst identifier, assigning or incrementing the first co-locationoccurrence score for each time the third identifier and the firstidentifier have contemporaneously accessed the first network access; foreach identifier pair including the third identifier and the secondidentifier, assigning or incrementing the first co-location occurrencescore for each time the third identifier and the second identifier havecontemporaneously accessed the first network access; for each identifierpair including the third identifier and the first identifier, assigningor incrementing the second co-location occurrence score for each timethe third identifier and the first identifier have contemporaneouslyaccessed the second network access; for each identifier pair includingthe third identifier and the second identifier, assigning orincrementing the second co-location occurrence score for each time thethird identifier and the second identifier have contemporaneouslyaccessed the second network access; for any unmapped identifier havingonly one of the first co-location occurrence score or the secondco-location occurrence score, filtering out such unmapped identifiersassociated with such identifier pairs; and for each identifier pair,adding the first co-location occurrence scores and the secondco-location occurrence scores across all activity log information. 20.The one or more computer-readable media of claim 18, further comprising:one or more instructions for providing at least one of a personalizedservice or personalized product to a device associated with the thirdidentifier based at least partially on the indication of the associationof the third identifier with the user.